Voice AI BenchmarksBy

PROVIDERLAST 30 DAYS

official resource

Speechmatics voice AI models and benchmarks

Speechmatics lists 1 STT model in Coval. Its fastest dated STT result is Linden 1 at mean 271 ms time to final segment (20th of 29) among STT systems, with 3.9% WER. Results cover the last 30 days. Last measured .

Speechmatics develops multilingual speech recognition services.

Measured models
1
STT
Best STT model#20 / 29
271ms
Linden 1

Overview

The service includes diarization, translation, code switching and vocabulary controls, and can be deployed beyond the public cloud.

Every model below is measured daily on the same fixed inputs and ranked against the full field, never blended into a company score.

Model lineup

Speech-to-Text
Linden 1

Speech-to-Text

Full STT dashboard

Ranked on Time to Final Segment against 29 measured models.

Time to Final Segmentms · lower is better · Speechmatics models markedEvery measured STT model on Time to Final Segment, with Speechmatics's models highlighted.
  1. #1Qwen3 ASR 1.7b39 ms
  2. #2STT RT v545 ms
  3. #3Qwen3 ASR Fast47 ms
  4. #4STT 166 ms
  5. #5Nova 385 ms
  6. #6Nova 287 ms
  7. #7Parakeet TDT 0.6B v397 ms
  8. #20Linden 1271 ms
leaders plus Speechmatics models · 21 other models in the full table
Word Error Rate% · lower is better · Speechmatics models markedEvery measured STT model on Word Error Rate, with Speechmatics's models highlighted.
  1. #1Universal 3.6 Pro2.1%
  2. #2Universal 3.5 Pro2.4%
  3. #3Qwen3 ASR Fast2.6%
  4. #4resonant-12.6%
  5. #5Qwen3 ASR 1.7b2.9%
  6. #6Gemini 3.5 Transcribe Live3.0%
  7. #7Chirp 33.2%
  8. #12Linden 13.9%
leaders plus Speechmatics models · 23 other models in the full table
Time to First Tokenms · lower is better · Speechmatics models markedEvery measured STT model on Time to First Token, with Speechmatics's models highlighted.
  1. #1Whisper Large v3via Baseten924 ms
  2. #2Qwen3 ASR 1.7b946 ms
  3. #3Universal 3.5 Pro1026 ms
  4. #4Universal 3.6 Pro1071 ms
  5. #5Flux1091 ms
  6. #6Flux Multilingual1165 ms
  7. #7STT 11211 ms
  8. #14Linden 11537 ms
leaders plus Speechmatics models · 19 other models in the full table
TTFS vs WER — Speechmatics vs every measured modelEach point is one measured STT model · Speechmatics models highlighted · 30-day averagesTime to Final Segment against Word Error Rate for every measured STT model, with Speechmatics's models highlighted.
Qwen3 ASR 1.7b — 39 ms, 2.9%STT RT v5 — 45 ms, 4.8%Qwen3 ASR Fast — 47 ms, 2.6%STT 1 — 66 ms, 7.1%Nova 3 — 85 ms, 5.3%Nova 2 — 87 ms, 6.7%Parakeet TDT 0.6B v3 — 97 ms, 11.1%Flux Multilingual — 98 ms, 7.5%Flux — 99 ms, 5.8%Scribe v2 Realtime — 122 ms, 4.4%Whisper Large v3 via Baseten — 131 ms, 4.5%Universal 3.6 Pro — 135 ms, 2.1%Ink 2 — 148 ms, 3.6%Universal 3.5 Pro — 168 ms, 2.4%Whisper Large v3 via Together AI — 200 ms, 7.4%Pulse — 205 ms, 4.6%Grok STT — 223 ms, 4.1%resonant-1 — 252 ms, 2.6%Default — 258 ms, 8.8%Gemini 3.5 Transcribe Live — 317 ms, 3.0%Daytona STT — 399 ms, 4.9%Voxtral Mini Transcribe Realtime 2602 — 410 ms, 5.4%GPT Realtime Whisper — 599 ms, 4.0%Solaria 1 — 636 ms, 6.0%GPT-4o mini Transcribe — 708 ms, 3.9%Chirp 3 — 768 ms, 3.2%GPT-4o Transcribe — 783 ms, 3.8%Chirp 2 — 908 ms, 3.9%Linden 1 — 271 ms, 3.9%
Benchmarked models with their Time to Final Segment over the last 30 days.
ModelHostTTFSRank
Linden 1Speechmatics271 ms20th of 29

How fast are Speechmatics's STT models?

Linden 1 measures mean 271 ms time to final segment (20th of 29) among STT systems. Last measured 2026-10-14.

How accurate are Speechmatics's STT models?

Linden 1 measures 3.9% word error rate (12th of 31) among STT systems. Last measured 2026-10-14.

Which Speechmatics model is fastest?

Its fastest dated STT result is Linden 1 at mean 271 ms time to final segment (20th of 29) among STT systems, with 3.9% WER. Last measured 2026-10-14.

Limits of this comparison

Coval measures its default and Enhanced real-time tiers separately.

  • The benchmark does not score translation or every supported language. The model name `default` is also used by other providers, so it is identified together with the Speechmatics provider name.

Official resources

Same datasets, prompts and metric definitions for every model, measured by Coval’s open-source runner. Full methodology on the overview.

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